Evidence map›Paper›PMID 42204050›Full record

ArticleJournal of applied genetics2026

Genome-wide association in quality protein maize: identifying key loci for yield enhancement.

Rainy Rainy, Sangram Singh Sandhu, Sushil Kumar, Ramesh Kumar, Yogesh Vikal, Priti Sharma

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Article in Journal of applied genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Rainy RainySchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
Sangram Singh SandhuSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
Sushil KumarIndian Council of Agricultural Research - Indian Institute of Maize Research, Ludhiana, Punjab, India.
Ramesh KumarIndian Council of Agricultural Research - Indian Institute of Maize Research, Ludhiana, Punjab, India. rk.phagna@gmail.com.
Yogesh VikalSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India.
Priti SharmaSchool of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, Punjab, India. pritisharma@pau.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain yield in maize (Zea mays L.) is a complex quantitative trait influenced by multiple component traits. Achieving sustainable yield improvement in nutritionally enhanced Quality Protein Maize (QPM) lines under growing population pressure and changing climate requires enhanced genetic gain. This study aimed to dissect the genetic basis of key yield components in 149 QPM inbred lines using five genome-wide association study (GWAS) models. Multi-environment phenotypic evaluation revealed moderate to high heritability and significant genotypic and environmental effects for most traits. GWAS identified a total of 27 stable marker-trait associations (MTAs) distributed across all chromosomes except chromosome 6, including nine pleiotropic loci. Novel genomic bins 3.03-3.04 and 5.01 were associated with kernel length. Functional annotation of potential candidate genes revealed enrichment for processes related to cell elongation, seed development, and sugar transport, with predominant expression in reproductive tissues during early kernel development. The gene Zm00001d039637 encoding GLK14 exhibited pleiotropic effects on kernel length and cob diameter, whereas MADS-box and AP2/EREBP transcription factors were linked to kernel number. Collectively, these results refine the current understanding of kernel development and identify promising genomic regions and functional candidates for deployment in genomics-assisted breeding for yield improvement in maize.

Indexed as

Genome-wide Association StudyHeritabilityMaizeMarker-assisted selectionMarker-trait associationYield

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.